Dataset statistics
| Number of variables | 16 |
|---|---|
| Number of observations | 29 |
| Missing cells | 20 |
| Missing cells (%) | 4.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 3.6 KiB |
| Average record size in memory | 126.2 B |
Variable types
| Categorical | 1 |
|---|---|
| Numeric | 15 |
Total Number of Road Accidents (in numbers) is highly correlated with Total Number of Persons Killed (in numbers) and 11 other fields | High correlation |
Total Number of Persons Killed (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Total Number of Persons Injured (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Population of India (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 10 other fields | High correlation |
Road Length (in kms) is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Accidents per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Accidents per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Accidents Per Ten Thousand Kms of Roads is highly correlated with Total Number of Registered Motor Vehicles (in thousands) and 2 other fields | High correlation |
Number of Persons Killed Per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Persons Killed Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Killed per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Injured per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 11 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 12 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Kms of Roads is highly correlated with Number of Accidents per Lakh Population and 6 other fields | High correlation |
Total Number of Road Accidents (in numbers) is highly correlated with Years and 14 other fields | High correlation |
Years is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Population of India (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) is highly correlated with Total Number of Road Accidents (in numbers) and 13 other fields | High correlation |
Number of Accidents Per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed Per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Accidents per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Persons Killed (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Accidents per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured per Lakh Population is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Vehicles is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Injured Per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Number of Persons Killed per Ten Thousand Kms of Roads is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Road Length (in kms) is highly correlated with Total Number of Road Accidents (in numbers) and 14 other fields | High correlation |
Total Number of Persons Injured (in numbers) is highly correlated with Total Number of Road Accidents (in numbers) and 13 other fields | High correlation |
Total Number of Registered Motor Vehicles (in thousands) has 2 (6.9%) missing values | Missing |
Road Length (in kms) has 2 (6.9%) missing values | Missing |
Number of Accidents per Lakh Population has 1 (3.4%) missing values | Missing |
Number of Accidents per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Accidents Per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Number of Persons Killed Per Lakh Population has 1 (3.4%) missing values | Missing |
Number of Persons Killed Per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Persons Killed per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Number of Persons Injured per Lakh Population has 2 (6.9%) missing values | Missing |
Number of Persons Injured Per Ten Thousand Vehicles has 2 (6.9%) missing values | Missing |
Number of Persons Injured Per Ten Thousand Kms of Roads has 2 (6.9%) missing values | Missing |
Years is uniformly distributed | Uniform |
Years has unique values | Unique |
Total Number of Road Accidents (in numbers) has unique values | Unique |
Total Number of Persons Killed (in numbers) has unique values | Unique |
Total Number of Persons Injured (in numbers) has unique values | Unique |
Population of India (in thousands) has unique values | Unique |
Reproduction
| Analysis started | 2021-09-30 06:34:24.592129 |
|---|---|
| Analysis finished | 2021-09-30 06:35:38.620652 |
| Duration | 1 minute and 14.03 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 180.0 B |
| 1970 | 1 |
|---|---|
| 2006 | 1 |
| 2018 | 1 |
| 2017 | 1 |
| 2016 | 1 |
| Other values (24) |
Length
| Max length | 14 |
|---|---|
| Median length | 4 |
| Mean length | 4.344827586 |
| Min length | 4 |
Characters and Unicode
| Total characters | 126 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 29 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 1970 |
|---|---|
| 2nd row | 1980 |
| 3rd row | 1990 |
| 4th row | 1994 |
| 5th row | 1995 |
Common Values
| Value | Count | Frequency (%) |
| 1970 | 1 | 3.4% |
| 2006 | 1 | 3.4% |
| 2018 | 1 | 3.4% |
| 2017 | 1 | 3.4% |
| 2016 | 1 | 3.4% |
| 2015 | 1 | 3.4% |
| 2014 | 1 | 3.4% |
| 2013 | 1 | 3.4% |
| 2012 | 1 | 3.4% |
| 2011 | 1 | 3.4% |
| Other values (19) | 19 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1970 | 1 | 3.3% |
| 1980 | 1 | 3.3% |
| cagr | 1 | 3.3% |
| 2018 | 1 | 3.3% |
| 2017 | 1 | 3.3% |
| 2016 | 1 | 3.3% |
| 2015 | 1 | 3.3% |
| 2014 | 1 | 3.3% |
| 2013 | 1 | 3.3% |
| 2012 | 1 | 3.3% |
| Other values (20) | 20 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.8% |
| 7 | 4 | 3.2% |
| 4 | 3 | 2.4% |
| 5 | 3 | 2.4% |
| 6 | 3 | 2.4% |
| 3 | 2 | 1.6% |
| Other values (6) | 6 | 4.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 120 | |
| Uppercase Letter | 4 | 3.2% |
| Space Separator | 1 | 0.8% |
| Other Punctuation | 1 | 0.8% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 5.0% |
| 7 | 4 | 3.3% |
| 4 | 3 | 2.5% |
| 5 | 3 | 2.5% |
| 6 | 3 | 2.5% |
| 3 | 2 | 1.7% |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 1 | |
| A | 1 | |
| G | 1 | |
| R | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 1 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 122 | |
| Latin | 4 | 3.2% |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.9% |
| 7 | 4 | 3.3% |
| 4 | 3 | 2.5% |
| 5 | 3 | 2.5% |
| 6 | 3 | 2.5% |
| 3 | 2 | 1.6% |
| Other values (2) | 2 | 1.6% |
Latin
| Value | Count | Frequency (%) |
| C | 1 | |
| A | 1 | |
| G | 1 | |
| R | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 126 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 37 | |
| 2 | 23 | |
| 1 | 21 | |
| 9 | 18 | |
| 8 | 6 | 4.8% |
| 7 | 4 | 3.2% |
| 4 | 3 | 2.4% |
| 5 | 3 | 2.4% |
| 6 | 3 | 2.4% |
| 3 | 2 | 1.6% |
| Other values (6) | 6 | 4.8% |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 397014.1941 |
| Minimum | -0.37 |
|---|---|
| Maximum | 501423 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1 |
| Negative (%) | 3.4% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | -0.37 |
|---|---|
| 5-th percentile | 129740 |
| Q1 | 373671 |
| median | 429910 |
| Q3 | 484704 |
| 95-th percentile | 498851.2 |
| Maximum | 501423 |
| Range | 501423.37 |
| Interquartile range (IQR) | 111033 |
Descriptive statistics
| Standard deviation | 122733.2822 |
|---|---|
| Coefficient of variation (CV) | 0.3091407914 |
| Kurtosis | 3.635855801 |
| Mean | 397014.1941 |
| Median Absolute Deviation (MAD) | 56239 |
| Skewness | -1.920924967 |
| Sum | 11513411.63 |
| Variance | 1.506345856 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 114100 | 1 | 3.4% |
| 460920 | 1 | 3.4% |
| 467044 | 1 | 3.4% |
| 464910 | 1 | 3.4% |
| 480652 | 1 | 3.4% |
| 501423 | 1 | 3.4% |
| 489400 | 1 | 3.4% |
| 486476 | 1 | 3.4% |
| 490383 | 1 | 3.4% |
| 497686 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| -0.37 | 1 | |
| 114100 | 1 | |
| 153200 | 1 | |
| 282600 | 1 | |
| 325864 | 1 | |
| 351999 | 1 | |
| 371204 | 1 | |
| 373671 | 1 | |
| 385018 | 1 | |
| 386456 | 1 |
| Value | Count | Frequency (%) |
| 501423 | 1 | |
| 499628 | 1 | |
| 497686 | 1 | |
| 490383 | 1 | |
| 489400 | 1 | |
| 486476 | 1 | |
| 486384 | 1 | |
| 484704 | 1 | |
| 480652 | 1 | |
| 479216 | 1 |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 97030.70207 |
| Minimum | 2.36 |
|---|---|
| Maximum | 151417 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 2.36 |
|---|---|
| 5-th percentile | 18300 |
| Q1 | 76977 |
| median | 92618 |
| Q3 | 137572 |
| 95-th percentile | 149636.2 |
| Maximum | 151417 |
| Range | 151414.64 |
| Interquartile range (IQR) | 60595 |
Descriptive statistics
| Standard deviation | 41688.1297 |
|---|---|
| Coefficient of variation (CV) | 0.4296385454 |
| Kurtosis | -0.199286475 |
| Mean | 97030.70207 |
| Median Absolute Deviation (MAD) | 28155 |
| Skewness | -0.5663237647 |
| Sum | 2813890.36 |
| Variance | 1737900158 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 14500 | 1 | 3.4% |
| 105749 | 1 | 3.4% |
| 151417 | 1 | 3.4% |
| 147913 | 1 | 3.4% |
| 150785 | 1 | 3.4% |
| 146133 | 1 | 3.4% |
| 139671 | 1 | 3.4% |
| 137572 | 1 | 3.4% |
| 138258 | 1 | 3.4% |
| 142485 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| 2.36 | 1 | |
| 14500 | 1 | |
| 24000 | 1 | |
| 54100 | 1 | |
| 64463 | 1 | |
| 70781 | 1 | |
| 74665 | 1 | |
| 76977 | 1 | |
| 78911 | 1 | |
| 79919 | 1 |
| Value | Count | Frequency (%) |
| 151417 | 1 | |
| 150785 | 1 | |
| 147913 | 1 | |
| 146133 | 1 | |
| 142485 | 1 | |
| 139671 | 1 | |
| 138258 | 1 | |
| 137572 | 1 | |
| 134513 | 1 | |
| 125660 | 1 |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 402427.9972 |
| Minimum | -1.08 |
|---|---|
| Maximum | 527512 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 1 |
| Negative (%) | 3.4% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | -1.08 |
|---|---|
| 5-th percentile | 85700 |
| Q1 | 375051 |
| median | 464521 |
| Q3 | 496481 |
| 95-th percentile | 520099 |
| Maximum | 527512 |
| Range | 527513.08 |
| Interquartile range (IQR) | 121430 |
Descriptive statistics
| Standard deviation | 139021.5881 |
|---|---|
| Coefficient of variation (CV) | 0.3454570482 |
| Kurtosis | 2.345492132 |
| Mean | 402427.9972 |
| Median Absolute Deviation (MAD) | 55810 |
| Skewness | -1.686182169 |
| Sum | 11670411.92 |
| Variance | 1.932700194 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 70100 | 1 | 3.4% |
| 496481 | 1 | 3.4% |
| 469418 | 1 | 3.4% |
| 470975 | 1 | 3.4% |
| 494624 | 1 | 3.4% |
| 500279 | 1 | 3.4% |
| 493474 | 1 | 3.4% |
| 494893 | 1 | 3.4% |
| 509667 | 1 | 3.4% |
| 511394 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| -1.08 | 1 | |
| 70100 | 1 | |
| 109100 | 1 | |
| 244100 | 1 | |
| 311500 | 1 | |
| 323200 | 1 | |
| 369502 | 1 | |
| 375051 | 1 | |
| 378361 | 1 | |
| 390674 | 1 |
| Value | Count | Frequency (%) |
| 527512 | 1 | |
| 523193 | 1 | |
| 515458 | 1 | |
| 513340 | 1 | |
| 511394 | 1 | |
| 509667 | 1 | |
| 500279 | 1 | |
| 496481 | 1 | |
| 494893 | 1 | |
| 494624 | 1 |
| Distinct | 29 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1027087.871 |
| Minimum | 1.26 |
|---|---|
| Maximum | 1298043 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1.26 |
|---|---|
| 5-th percentile | 592600 |
| Q1 | 959792 |
| median | 1079117 |
| Q3 | 1208116 |
| 95-th percentile | 1277745 |
| Maximum | 1298043 |
| Range | 1298041.74 |
| Interquartile range (IQR) | 248324 |
Descriptive statistics
| Standard deviation | 265660.0353 |
|---|---|
| Coefficient of variation (CV) | 0.2586536584 |
| Kurtosis | 7.400017491 |
| Mean | 1027087.871 |
| Median Absolute Deviation (MAD) | 128999 |
| Skewness | -2.360950242 |
| Sum | 29785548.26 |
| Variance | 7.057525438 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 539000 | 1 | 3.4% |
| 1112186 | 1 | 3.4% |
| 1298043 | 1 | 3.4% |
| 1283601 | 1 | 3.4% |
| 1268961 | 1 | 3.4% |
| 1254019 | 1 | 3.4% |
| 1238887 | 1 | 3.4% |
| 1223581 | 1 | 3.4% |
| 1208116 | 1 | 3.4% |
| 1210193 | 1 | 3.4% |
| Other values (19) | 19 |
| Value | Count | Frequency (%) |
| 1.26 | 1 | |
| 539000 | 1 | |
| 673000 | 1 | |
| 835000 | 1 | |
| 904000 | 1 | |
| 924359 | 1 | |
| 941579 | 1 | |
| 959792 | 1 | |
| 978081 | 1 | |
| 996130 | 1 |
| Value | Count | Frequency (%) |
| 1298043 | 1 | |
| 1283601 | 1 | |
| 1268961 | 1 | |
| 1254019 | 1 | |
| 1238887 | 1 | |
| 1223581 | 1 | |
| 1210193 | 1 | |
| 1208116 | 1 | |
| 1176742 | 1 | |
| 1160813 | 1 |
Total Number of Registered Motor Vehicles (in thousands)
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93544.37037 |
| Minimum | 1401 |
|---|---|
| Maximum | 253311 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1401 |
|---|---|
| 5-th percentile | 8910.3 |
| Q1 | 39350 |
| median | 72718 |
| Q3 | 134806 |
| 95-th percentile | 224028.6 |
| Maximum | 253311 |
| Range | 251910 |
| Interquartile range (IQR) | 95456 |
Descriptive statistics
| Standard deviation | 71104.88244 |
|---|---|
| Coefficient of variation (CV) | 0.760119312 |
| Kurtosis | -0.3427760288 |
| Mean | 93544.37037 |
| Median Absolute Deviation (MAD) | 42233 |
| Skewness | 0.8025079011 |
| Sum | 2525698 |
| Variance | 5055904307 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 4521 | 1 | 3.4% |
| 253311 | 1 | 3.4% |
| 230031 | 1 | 3.4% |
| 210023 | 1 | 3.4% |
| 190704 | 1 | 3.4% |
| 181508 | 1 | 3.4% |
| 159491 | 1 | 3.4% |
| 141866 | 1 | 3.4% |
| 127746 | 1 | 3.4% |
| 114951 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 1401 | 1 | |
| 4521 | 1 | |
| 19152 | 1 | |
| 27660 | 1 | |
| 30295 | 1 | |
| 33786 | 1 | |
| 37332 | 1 | |
| 41368 | 1 | |
| 44875 | 1 | |
| 48857 | 1 |
| Value | Count | Frequency (%) |
| 253311 | 1 | |
| 230031 | 1 | |
| 210023 | 1 | |
| 190704 | 1 | |
| 181508 | 1 | |
| 159491 | 1 | |
| 141866 | 1 | |
| 127746 | 1 | |
| 114951 | 1 | |
| 105353 | 1 |
| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3808985.963 |
| Minimum | 1188728 |
|---|---|
| Maximum | 5897671 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 1188728 |
|---|---|
| 5-th percentile | 1639471.2 |
| Q1 | 3262503 |
| median | 3621507 |
| Q3 | 4629638.5 |
| 95-th percentile | 5563948.3 |
| Maximum | 5897671 |
| Range | 4708943 |
| Interquartile range (IQR) | 1367135.5 |
Descriptive statistics
| Standard deviation | 1192628.587 |
|---|---|
| Coefficient of variation (CV) | 0.3131092103 |
| Kurtosis | -0.05678284517 |
| Mean | 3808985.963 |
| Median Absolute Deviation (MAD) | 646472 |
| Skewness | -0.2399128005 |
| Sum | 102842621 |
| Variance | 1.422362946 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 1491873 | 1 | 3.4% |
| 5897671 | 1 | 3.4% |
| 5603293 | 1 | 3.4% |
| 5472144 | 1 | 3.4% |
| 5402486 | 1 | 3.4% |
| 5231922 | 1 | 3.4% |
| 4865394 | 1 | 3.4% |
| 4676838 | 1 | 3.4% |
| 4582439 | 1 | 3.4% |
| 4471510 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 1188728 | 1 | |
| 1491873 | 1 | |
| 1983867 | 1 | |
| 2890950 | 1 | |
| 2975035 | 1 | |
| 3202515 | 1 | |
| 3228356 | 1 | |
| 3296650 | 1 | |
| 3298788 | 1 | |
| 3316078 | 1 |
| Value | Count | Frequency (%) |
| 5897671 | 1 | |
| 5603293 | 1 | |
| 5472144 | 1 | |
| 5402486 | 1 | |
| 5231922 | 1 | |
| 4865394 | 1 | |
| 4676838 | 1 | |
| 4582439 | 1 | |
| 4471510 | 1 | |
| 4109592 | 1 |
| Distinct | 23 |
|---|---|
| Distinct (%) | 82.1% |
| Missing | 1 |
| Missing (%) | 3.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.04642857 |
| Minimum | 21.2 |
|---|---|
| Maximum | 42.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 21.2 |
|---|---|
| 5-th percentile | 26.65 |
| Q1 | 38.05 |
| median | 39.4 |
| Q3 | 40.225 |
| 95-th percentile | 42.43 |
| Maximum | 42.5 |
| Range | 21.3 |
| Interquartile range (IQR) | 2.175 |
Descriptive statistics
| Standard deviation | 4.982077667 |
|---|---|
| Coefficient of variation (CV) | 0.130947315 |
| Kurtosis | 6.894603279 |
| Mean | 38.04642857 |
| Median Absolute Deviation (MAD) | 1.25 |
| Skewness | -2.577756657 |
| Sum | 1065.3 |
| Variance | 24.82109788 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 39.4 | 3 | 10.3% |
| 42.5 | 2 | 6.9% |
| 36 | 2 | 6.9% |
| 39.8 | 2 | 6.9% |
| 21.2 | 1 | 3.4% |
| 36.2 | 1 | 3.4% |
| 37.9 | 1 | 3.4% |
| 40 | 1 | 3.4% |
| 39.5 | 1 | 3.4% |
| 40.6 | 1 | 3.4% |
| Other values (13) | 13 |
| Value | Count | Frequency (%) |
| 21.2 | 1 | |
| 22.8 | 1 | |
| 33.8 | 1 | |
| 36 | 2 | |
| 36.2 | 1 | |
| 37.9 | 1 | |
| 38.1 | 1 | |
| 38.3 | 1 | |
| 38.6 | 1 | |
| 38.8 | 1 |
| Value | Count | Frequency (%) |
| 42.5 | 2 | |
| 42.3 | 1 | |
| 41.9 | 1 | |
| 41.4 | 1 | |
| 41.1 | 1 | |
| 40.6 | 1 | |
| 40.1 | 1 | |
| 40 | 1 | |
| 39.8 | 2 | |
| 39.5 | 1 |
Number of Accidents per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 101.1407407 |
| Minimum | 18.4 |
|---|---|
| Maximum | 814.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 18.4 |
|---|---|
| 5-th percentile | 21.8 |
| Q1 | 37.1 |
| median | 59.1 |
| Q3 | 96.6 |
| 95-th percentile | 281.51 |
| Maximum | 814.4 |
| Range | 796 |
| Interquartile range (IQR) | 59.5 |
Descriptive statistics
| Standard deviation | 155.8375566 |
|---|---|
| Coefficient of variation (CV) | 1.540799044 |
| Kurtosis | 18.17360799 |
| Mean | 101.1407407 |
| Median Absolute Deviation (MAD) | 28.4 |
| Skewness | 4.085261104 |
| Sum | 2730.8 |
| Variance | 24285.34405 |
| Monotonicity | Strictly decreasing |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 338.9 | 1 | 3.4% |
| 18.4 | 1 | 3.4% |
| 20.9 | 1 | 3.4% |
| 23.9 | 1 | 3.4% |
| 25.7 | 1 | 3.4% |
| 26.8 | 1 | 3.4% |
| 30.7 | 1 | 3.4% |
| 35.1 | 1 | 3.4% |
| 39.1 | 1 | 3.4% |
| 42.3 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 18.4 | 1 | |
| 20.9 | 1 | |
| 23.9 | 1 | |
| 25.7 | 1 | |
| 26.8 | 1 | |
| 30.7 | 1 | |
| 35.1 | 1 | |
| 39.1 | 1 | |
| 42.3 | 1 | |
| 46 | 1 |
| Value | Count | Frequency (%) |
| 814.4 | 1 | |
| 338.9 | 1 | |
| 147.6 | 1 | |
| 117.8 | 1 | |
| 116.2 | 1 | |
| 109.9 | 1 | |
| 100.1 | 1 | |
| 93.1 | 1 | |
| 86.1 | 1 | |
| 80.1 | 1 |
Number of Accidents Per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1098.214815 |
| Minimum | 788.3 |
|---|---|
| Maximum | 1424.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 788.3 |
|---|---|
| 5-th percentile | 872.23 |
| Q1 | 1017.4 |
| median | 1152.6 |
| Q3 | 1185.15 |
| 95-th percentile | 1199.61 |
| Maximum | 1424.5 |
| Range | 636.2 |
| Interquartile range (IQR) | 167.75 |
Descriptive statistics
| Standard deviation | 136.3298678 |
|---|---|
| Coefficient of variation (CV) | 0.124137706 |
| Kurtosis | 0.591243875 |
| Mean | 1098.214815 |
| Median Absolute Deviation (MAD) | 40.5 |
| Skewness | -0.3753836737 |
| Sum | 29651.8 |
| Variance | 18585.83285 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 1026.9 | 1 | 3.4% |
| 788.3 | 1 | 3.4% |
| 857.8 | 1 | 3.4% |
| 916.3 | 1 | 3.4% |
| 905.9 | 1 | 3.4% |
| 929.8 | 1 | 3.4% |
| 1007.9 | 1 | 3.4% |
| 1064.2 | 1 | 3.4% |
| 1090.3 | 1 | 3.4% |
| 1087.7 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 788.3 | 1 | |
| 857.8 | 1 | |
| 905.9 | 1 | |
| 916.3 | 1 | |
| 929.8 | 1 | |
| 959.8 | 1 | |
| 1007.9 | 1 | |
| 1026.9 | 1 | |
| 1064.2 | 1 | |
| 1087.7 | 1 |
| Value | Count | Frequency (%) |
| 1424.5 | 1 | |
| 1202.4 | 1 | |
| 1193.1 | 1 | |
| 1192.6 | 1 | |
| 1189.2 | 1 | |
| 1187.7 | 1 | |
| 1187.1 | 1 | |
| 1183.2 | 1 | |
| 1180.5 | 1 | |
| 1179.4 | 1 |
Number of Persons Killed Per Lakh Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 23 |
|---|---|
| Distinct (%) | 82.1% |
| Missing | 1 |
| Missing (%) | 3.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.067857143 |
| Minimum | 2.7 |
|---|---|
| Maximum | 11.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 2.7 |
|---|---|
| 5-th percentile | 4.615 |
| Q1 | 7.9 |
| median | 8.65 |
| Q3 | 11.325 |
| 95-th percentile | 11.765 |
| Maximum | 11.9 |
| Range | 9.2 |
| Interquartile range (IQR) | 3.425 |
Descriptive statistics
| Standard deviation | 2.387940934 |
|---|---|
| Coefficient of variation (CV) | 0.2633412609 |
| Kurtosis | 0.8767871476 |
| Mean | 9.067857143 |
| Median Absolute Deviation (MAD) | 1.7 |
| Skewness | -0.9052652892 |
| Sum | 253.9 |
| Variance | 5.702261905 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=23)
| Value | Count | Frequency (%) |
| 11.7 | 2 | 6.9% |
| 7.9 | 2 | 6.9% |
| 8.2 | 2 | 6.9% |
| 8.1 | 2 | 6.9% |
| 11.4 | 2 | 6.9% |
| 2.7 | 1 | 3.4% |
| 10.5 | 1 | 3.4% |
| 11.5 | 1 | 3.4% |
| 11.9 | 1 | 3.4% |
| 11.3 | 1 | 3.4% |
| Other values (13) | 13 |
| Value | Count | Frequency (%) |
| 2.7 | 1 | |
| 3.6 | 1 | |
| 6.5 | 1 | |
| 7.1 | 1 | |
| 7.7 | 1 | |
| 7.8 | 1 | |
| 7.9 | 2 | |
| 8 | 1 | |
| 8.1 | 2 | |
| 8.2 | 2 |
| Value | Count | Frequency (%) |
| 11.9 | 1 | |
| 11.8 | 1 | |
| 11.7 | 2 | |
| 11.5 | 1 | |
| 11.4 | 2 | |
| 11.3 | 1 | |
| 11.2 | 1 | |
| 10.8 | 1 | |
| 10.5 | 1 | |
| 10.1 | 1 |
Number of Persons Killed Per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 26 |
|---|---|
| Distinct (%) | 96.3% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.65555556 |
| Minimum | 5.8 |
|---|---|
| Maximum | 103.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 5.8 |
|---|---|
| 5-th percentile | 6.72 |
| Q1 | 10.25 |
| median | 12.7 |
| Q3 | 19.95 |
| 95-th percentile | 45.63 |
| Maximum | 103.5 |
| Range | 97.7 |
| Interquartile range (IQR) | 9.7 |
Descriptive statistics
| Standard deviation | 19.45334326 |
|---|---|
| Coefficient of variation (CV) | 1.042764082 |
| Kurtosis | 14.68034983 |
| Mean | 18.65555556 |
| Median Absolute Deviation (MAD) | 5.1 |
| Skewness | 3.610611813 |
| Sum | 503.7 |
| Variance | 378.4325641 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 11.8 | 2 | 6.9% |
| 11.7 | 1 | 3.4% |
| 5.8 | 1 | 3.4% |
| 6.6 | 1 | 3.4% |
| 7 | 1 | 3.4% |
| 7.3 | 1 | 3.4% |
| 7.6 | 1 | 3.4% |
| 8.7 | 1 | 3.4% |
| 10 | 1 | 3.4% |
| 10.5 | 1 | 3.4% |
| Other values (16) | 16 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 5.8 | 1 | |
| 6.6 | 1 | |
| 7 | 1 | |
| 7.3 | 1 | |
| 7.6 | 1 | |
| 8.7 | 1 | |
| 10 | 1 | |
| 10.5 | 1 | |
| 10.9 | 1 | |
| 11.4 | 1 |
| Value | Count | Frequency (%) |
| 103.5 | 1 | |
| 53.1 | 1 | |
| 28.2 | 1 | |
| 23.4 | 1 | |
| 23.3 | 1 | |
| 22.1 | 1 | |
| 20.6 | 1 | |
| 19.3 | 1 | |
| 18.3 | 1 | |
| 16.2 | 1 |
Number of Persons Killed per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 250.8703704 |
| Minimum | 122 |
|---|---|
| Maximum | 304.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 122 |
|---|---|
| 5-th percentile | 179.53 |
| Q1 | 238.9 |
| median | 250.8 |
| Q3 | 272.6 |
| 95-th percentile | 292.96 |
| Maximum | 304.7 |
| Range | 182.7 |
| Interquartile range (IQR) | 33.7 |
Descriptive statistics
| Standard deviation | 38.21278295 |
|---|---|
| Coefficient of variation (CV) | 0.1523208296 |
| Kurtosis | 4.818768017 |
| Mean | 250.8703704 |
| Median Absolute Deviation (MAD) | 17.5 |
| Skewness | -1.837971221 |
| Sum | 6773.5 |
| Variance | 1460.216781 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 160.9 | 1 | 3.4% |
| 250.8 | 1 | 3.4% |
| 269.1 | 1 | 3.4% |
| 267 | 1 | 3.4% |
| 258.5 | 1 | 3.4% |
| 262.9 | 1 | 3.4% |
| 284.2 | 1 | 3.4% |
| 304.7 | 1 | 3.4% |
| 293.5 | 1 | 3.4% |
| 281 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 122 | 1 | |
| 160.9 | 1 | |
| 223 | 1 | |
| 233.1 | 1 | |
| 233.3 | 1 | |
| 237.9 | 1 | |
| 238 | 1 | |
| 239.8 | 1 | |
| 243.7 | 1 | |
| 247.1 | 1 |
| Value | Count | Frequency (%) |
| 304.7 | 1 | |
| 293.5 | 1 | |
| 291.7 | 1 | |
| 284.9 | 1 | |
| 284.2 | 1 | |
| 281 | 1 | |
| 272.7 | 1 | |
| 272.5 | 1 | |
| 269.1 | 1 | |
| 267 | 1 |
Number of Persons Injured per Lakh Population
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 25 |
|---|---|
| Distinct (%) | 92.6% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 38.18148148 |
| Minimum | 13 |
|---|---|
| Maximum | 45.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 13 |
|---|---|
| 5-th percentile | 20.1 |
| Q1 | 37.2 |
| median | 39.8 |
| Q3 | 42.4 |
| 95-th percentile | 45.29 |
| Maximum | 45.7 |
| Range | 32.7 |
| Interquartile range (IQR) | 5.2 |
Descriptive statistics
| Standard deviation | 7.75643837 |
|---|---|
| Coefficient of variation (CV) | 0.2031466059 |
| Kurtosis | 5.391180266 |
| Mean | 38.18148148 |
| Median Absolute Deviation (MAD) | 2.7 |
| Skewness | -2.26214886 |
| Sum | 1030.9 |
| Variance | 60.16233618 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 39.4 | 2 | 6.9% |
| 39.9 | 2 | 6.9% |
| 44.6 | 1 | 3.4% |
| 36.2 | 1 | 3.4% |
| 36.7 | 1 | 3.4% |
| 39.8 | 1 | 3.4% |
| 40.4 | 1 | 3.4% |
| 42.2 | 1 | 3.4% |
| 42.3 | 1 | 3.4% |
| 44.8 | 1 | 3.4% |
| Other values (15) | 15 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 13 | 1 | |
| 16.2 | 1 | |
| 29.2 | 1 | |
| 34.5 | 1 | |
| 35 | 1 | |
| 36.2 | 1 | |
| 36.7 | 1 | |
| 37.7 | 1 | |
| 39.1 | 1 | |
| 39.2 | 1 |
| Value | Count | Frequency (%) |
| 45.7 | 1 | |
| 45.5 | 1 | |
| 44.8 | 1 | |
| 44.6 | 1 | |
| 44.4 | 1 | |
| 43 | 1 | |
| 42.5 | 1 | |
| 42.3 | 1 | |
| 42.2 | 1 | |
| 41 | 1 |
Number of Persons Injured Per Ten Thousand Vehicles
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 85.82962963 |
| Minimum | 18.6 |
|---|---|
| Maximum | 500.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 18.6 |
|---|---|
| 5-th percentile | 22.19 |
| Q1 | 38.65 |
| median | 63.9 |
| Q3 | 97.9 |
| 95-th percentile | 207.16 |
| Maximum | 500.4 |
| Range | 481.8 |
| Interquartile range (IQR) | 59.25 |
Descriptive statistics
| Standard deviation | 94.83907753 |
|---|---|
| Coefficient of variation (CV) | 1.104968971 |
| Kurtosis | 14.72887245 |
| Mean | 85.82962963 |
| Median Absolute Deviation (MAD) | 30.5 |
| Skewness | 3.569666185 |
| Sum | 2317.4 |
| Variance | 8994.450627 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 241.3 | 1 | 3.4% |
| 18.6 | 1 | 3.4% |
| 21.5 | 1 | 3.4% |
| 23.8 | 1 | 3.4% |
| 25.9 | 1 | 3.4% |
| 27.3 | 1 | 3.4% |
| 32 | 1 | 3.4% |
| 36 | 1 | 3.4% |
| 41.3 | 1 | 3.4% |
| 44.8 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 18.6 | 1 | |
| 21.5 | 1 | |
| 23.8 | 1 | |
| 25.9 | 1 | |
| 27.3 | 1 | |
| 32 | 1 | |
| 36 | 1 | |
| 41.3 | 1 | |
| 44.8 | 1 | |
| 49.7 | 1 |
| Value | Count | Frequency (%) |
| 500.4 | 1 | |
| 241.3 | 1 | |
| 127.5 | 1 | |
| 112.6 | 1 | |
| 109.4 | 1 | |
| 106.7 | 1 | |
| 101.4 | 1 | |
| 94.4 | 1 | |
| 83.6 | 1 | |
| 81.7 | 1 |
Number of Persons Injured Per Ten Thousand Kms of Roads
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 27 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 2 |
| Missing (%) | 6.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1089.985185 |
| Minimum | 589.7 |
|---|---|
| Maximum | 1282.7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 296.0 B |
Quantile statistics
| Minimum | 589.7 |
|---|---|
| 5-th percentile | 751.49 |
| Q1 | 996.7 |
| median | 1151.2 |
| Q3 | 1215.8 |
| 95-th percentile | 1279.01 |
| Maximum | 1282.7 |
| Range | 693 |
| Interquartile range (IQR) | 219.1 |
Descriptive statistics
| Standard deviation | 181.7363828 |
|---|---|
| Coefficient of variation (CV) | 0.1667328926 |
| Kurtosis | 0.9499366285 |
| Mean | 1089.985185 |
| Median Absolute Deviation (MAD) | 79.2 |
| Skewness | -1.228923215 |
| Sum | 29429.6 |
| Variance | 33028.11285 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=27)
| Value | Count | Frequency (%) |
| 731.3 | 1 | 3.4% |
| 798.6 | 1 | 3.4% |
| 882.7 | 1 | 3.4% |
| 914.2 | 1 | 3.4% |
| 913.4 | 1 | 3.4% |
| 945.9 | 1 | 3.4% |
| 1047.5 | 1 | 3.4% |
| 1093.5 | 1 | 3.4% |
| 1151.2 | 1 | 3.4% |
| 1152.8 | 1 | 3.4% |
| Other values (17) | 17 | |
| (Missing) | 2 | 6.9% |
| Value | Count | Frequency (%) |
| 589.7 | 1 | |
| 731.3 | 1 | |
| 798.6 | 1 | |
| 882.7 | 1 | |
| 913.4 | 1 | |
| 914.2 | 1 | |
| 945.9 | 1 | |
| 1047.5 | 1 | |
| 1077.5 | 1 | |
| 1086.4 | 1 |
| Value | Count | Frequency (%) |
| 1282.7 | 1 | |
| 1279.4 | 1 | |
| 1278.1 | 1 | |
| 1273.1 | 1 | |
| 1233.1 | 1 | |
| 1230.4 | 1 | |
| 1221.5 | 1 | |
| 1210.1 | 1 | |
| 1204 | 1 | |
| 1201.2 | 1 |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Years | Total Number of Road Accidents (in numbers) | Total Number of Persons Killed (in numbers) | Total Number of Persons Injured (in numbers) | Population of India (in thousands) | Total Number of Registered Motor Vehicles (in thousands) | Road Length (in kms) | Number of Accidents per Lakh Population | Number of Accidents per Ten Thousand Vehicles | Number of Accidents Per Ten Thousand Kms of Roads | Number of Persons Killed Per Lakh Population | Number of Persons Killed Per Ten Thousand Vehicles | Number of Persons Killed per Ten Thousand Kms of Roads | Number of Persons Injured per Lakh Population | Number of Persons Injured Per Ten Thousand Vehicles | Number of Persons Injured Per Ten Thousand Kms of Roads | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1970 | 114100.0 | 14500.0 | 70100.0 | 539000.0 | 1401.0 | 1188728.0 | 21.2 | 814.4 | 959.8 | 2.7 | 103.5 | 122.0 | 13.0 | 500.4 | 589.7 |
| 1 | 1980 | 153200.0 | 24000.0 | 109100.0 | 673000.0 | 4521.0 | 1491873.0 | 22.8 | 338.9 | 1026.9 | 3.6 | 53.1 | 160.9 | 16.2 | 241.3 | 731.3 |
| 2 | 1990 | 282600.0 | 54100.0 | 244100.0 | 835000.0 | 19152.0 | 1983867.0 | 33.8 | 147.6 | 1424.5 | 6.5 | 28.2 | 272.7 | 29.2 | 127.5 | 1230.4 |
| 3 | 1994 | 325864.0 | 64463.0 | 311500.0 | 904000.0 | 27660.0 | 2890950.0 | 36.0 | 117.8 | 1127.2 | 7.1 | 23.3 | 223.0 | 34.5 | 112.6 | 1077.5 |
| 4 | 1995 | 351999.0 | 70781.0 | 323200.0 | 924359.0 | 30295.0 | 2975035.0 | 38.1 | 116.2 | 1183.2 | 7.7 | 23.4 | 237.9 | 35.0 | 106.7 | 1086.4 |
| 5 | 1996 | 371204.0 | 74665.0 | 369502.0 | 941579.0 | 33786.0 | 3202515.0 | 39.4 | 109.9 | 1159.1 | 7.9 | 22.1 | 233.1 | 39.2 | 109.4 | 1153.8 |
| 6 | 1997 | 373671.0 | 76977.0 | 378361.0 | 959792.0 | 37332.0 | 3298788.0 | 38.9 | 100.1 | 1132.8 | 8.0 | 20.6 | 233.3 | 39.4 | 101.4 | 1147.0 |
| 7 | 1998 | 385018.0 | 79919.0 | 390674.0 | 978081.0 | 41368.0 | 3228356.0 | 39.4 | 93.1 | 1192.6 | 8.2 | 19.3 | 247.6 | 39.9 | 94.4 | 1210.1 |
| 8 | 1999 | 386456.0 | 81966.0 | 375051.0 | 996130.0 | 44875.0 | 3296650.0 | 38.8 | 86.1 | 1172.3 | 8.2 | 18.3 | 248.6 | 37.7 | 83.6 | 1137.7 |
| 9 | 2000 | 391449.0 | 78911.0 | 399265.0 | 1014825.0 | 48857.0 | 3316078.0 | 38.6 | 80.1 | 1180.5 | 7.8 | 16.2 | 238.0 | 39.3 | 81.7 | 1204.0 |
Last rows
| Years | Total Number of Road Accidents (in numbers) | Total Number of Persons Killed (in numbers) | Total Number of Persons Injured (in numbers) | Population of India (in thousands) | Total Number of Registered Motor Vehicles (in thousands) | Road Length (in kms) | Number of Accidents per Lakh Population | Number of Accidents per Ten Thousand Vehicles | Number of Accidents Per Ten Thousand Kms of Roads | Number of Persons Killed Per Lakh Population | Number of Persons Killed Per Ten Thousand Vehicles | Number of Persons Killed per Ten Thousand Kms of Roads | Number of Persons Injured per Lakh Population | Number of Persons Injured Per Ten Thousand Vehicles | Number of Persons Injured Per Ten Thousand Kms of Roads | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 19 | 2010 | 499628.00 | 134513.00 | 527512.00 | 1176742.00 | 127746.0 | 4582439.0 | 42.5 | 39.1 | 1090.3 | 11.4 | 10.5 | 293.5 | 44.8 | 41.3 | 1151.2 |
| 20 | 2011 | 497686.00 | 142485.00 | 511394.00 | 1210193.00 | 141866.0 | 4676838.0 | 41.1 | 35.1 | 1064.2 | 11.8 | 10.0 | 304.7 | 42.3 | 36.0 | 1093.5 |
| 21 | 2012 | 490383.00 | 138258.00 | 509667.00 | 1208116.00 | 159491.0 | 4865394.0 | 40.6 | 30.7 | 1007.9 | 11.4 | 8.7 | 284.2 | 42.2 | 32.0 | 1047.5 |
| 22 | 2013 | 486476.00 | 137572.00 | 494893.00 | 1223581.00 | 181508.0 | 5231922.0 | 39.8 | 26.8 | 929.8 | 11.2 | 7.6 | 262.9 | 40.4 | 27.3 | 945.9 |
| 23 | 2014 | 489400.00 | 139671.00 | 493474.00 | 1238887.00 | 190704.0 | 5402486.0 | 39.5 | 25.7 | 905.9 | 11.3 | 7.3 | 258.5 | 39.8 | 25.9 | 913.4 |
| 24 | 2015 | 501423.00 | 146133.00 | 500279.00 | 1254019.00 | 210023.0 | 5472144.0 | 40.0 | 23.9 | 916.3 | 11.7 | 7.0 | 267.0 | 39.9 | 23.8 | 914.2 |
| 25 | 2016 | 480652.00 | 150785.00 | 494624.00 | 1268961.00 | 230031.0 | 5603293.0 | 37.9 | 20.9 | 857.8 | 11.9 | 6.6 | 269.1 | 36.7 | 21.5 | 882.7 |
| 26 | 2017 | 464910.00 | 147913.00 | 470975.00 | 1283601.00 | 253311.0 | 5897671.0 | 36.2 | 18.4 | 788.3 | 11.5 | 5.8 | 250.8 | 36.2 | 18.6 | 798.6 |
| 27 | 2018 | 467044.00 | 151417.00 | 469418.00 | 1298043.00 | NaN | NaN | 36.0 | NaN | NaN | 11.7 | NaN | NaN | NaN | NaN | NaN |
| 28 | CAGR 2008/2018 | -0.37 | 2.36 | -1.08 | 1.26 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |